Develop and deploy scalable machine learning and mathematical optimization models for Walmart’s inventory decision systems. Responsibilities include data exploration, feature engineering, model validation, data quality assessment, visualization, governance, and production readiness. The role translates complex inventory and business requirements into automated, data-driven decisions while collaborating with engineering, product, and business stakeholders.
Position Summary...What you'll do...Role summary:
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that enhance business outcomes. This role involves designing robust models, performing rigorous validation, and ensuring scalability while collaborating with cross-functional teams to translate complex data into actionable insights. You will guide data strategy, uphold data quality standards, and communicate findings effectively to influence decision-making. Your expertise in operations research, machine learning, statistical methods, and visualization will support Walmart’s commitment to innovation and operational excellence.
About the team:
Inventory Decision Intelligence, part of Applied AI, owns the science and AI capabilities driving how inventory is ordered, positioned, transferred, and managed across Walmart's network. We apply agentic AI and mathematical optimization to build scalable, reliable decision systems that work consistently across businesses, locations, and operating conditions — from defining decision logic and developing models to monitoring performance in production. In close partnership with engineering, product, and business, we improve inventory availability and sales while reducing excess and operating cost, ultimately delivering better experiences for customers and associates.
What you'll do:
What you'll bring:
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-11658: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that enhance business outcomes. This role involves designing robust models, performing rigorous validation, and ensuring scalability while collaborating with cross-functional teams to translate complex data into actionable insights. You will guide data strategy, uphold data quality standards, and communicate findings effectively to influence decision-making. Your expertise in operations research, machine learning, statistical methods, and visualization will support Walmart’s commitment to innovation and operational excellence.
About the team:
Inventory Decision Intelligence, part of Applied AI, owns the science and AI capabilities driving how inventory is ordered, positioned, transferred, and managed across Walmart's network. We apply agentic AI and mathematical optimization to build scalable, reliable decision systems that work consistently across businesses, locations, and operating conditions — from defining decision logic and developing models to monitoring performance in production. In close partnership with engineering, product, and business, we improve inventory availability and sales while reducing excess and operating cost, ultimately delivering better experiences for customers and associates.
What you'll do:
- Design and implement optimization models and machine learning solutions that power intelligent, automated decision-making across inventory management operations.
- Develop, test, and deploy scalable models using advanced statistical, machine learning, and mathematical optimization techniques.
- Identify and evaluate data sources aligned with business requirements and quality standards.
- Perform exploratory data analysis and feature engineering to support model development and decision logic design.
- Collaborate with stakeholders to translate complex business problems into decision-driven, data-informed solutions.
- Create clear data visualizations to communicate findings and support decision-making.
- Ensure compliance with data governance, quality, and deployment standards throughout project lifecycles.
What you'll bring:
- Experience designing and developing optimization models and machine learning solutions that power automated decision-making systems.
- Strong foundation in data science, including advanced statistical methods, machine learning, and mathematical optimization techniques.
- Proficiency in Python and relevant data science libraries; familiarity with data visualization tools to communicate analytical findings.
- Strong knowledge of database technologies, including SQL and NoSQL systems, and data quality assessment practices.
- Ability to develop, test, validate, and deploy scalable models with a focus on reliability and production readiness.
- Solid understanding of business domains with the ability to translate complex requirements into decision-driven, data-informed solutions.
- Collaborative approach to work cross-functionally with engineering, product, and business stakeholders.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-10735: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-11658: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Similar Jobs
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